ParMETIS 4.0.3-foss-2018b

Deprecated: Use of this version of ParMETIS is deprecated. More information on our Applications Support and Retention Policy.

There is a newer version of ParMETIS

ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes.

Accessing ParMETIS 4.0.3-foss-2018b

To load the module for ParMETIS 4.0.3-foss-2018b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load ParMETIS/4.0.3-foss-2018b

BEAR Apps Version

2018b

Architectures

EL8-cascadelake — EL8-haswell — Ubuntu20.04-haswell

The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.

More Information

For more information visit the ParMETIS website.

Dependencies

This version of ParMETIS has a direct dependency on: foss/2018b

Required By

This version of ParMETIS is a direct dependent of: PETSc/3.11.1-foss-2018b

Other Versions

These versions of ParMETIS are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 18th July 2019